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Pedro A. Ortega

School of Engineering and Applied Sciences
School of Arts and Sciences
University of Pennsylvania


I am a postdoc at the University of Pennsylvania. I got my PhD in Engineering from the University of Cambridge and my BSc/Diploma in Computer Engineering from the University of Chile. My background is mainly in Physics, Mathematics and Computer Science, and I study cybernetics.

This is Ludwig Boltzmann (no joke). Thanks Jordi!

Research Interests

I am a cyberneticist interested in the mathematical foundations of intelligent behaviour. I study the links between various topics such as Bayesian probability theory, information theory, stochastic control, theoretical economics, causality, statistical mechanics, ergodic theory and complexity theory. Other areas of interest are computational neuroscience, psychology and epistemology. Also, I'm a huge fan of minimalistic algorithms (see Dijkstra's quote further down).

Free Energy Functional (it's also meant to be a puzzling pic)

Most of my work centers on information-theoretic and statistical mechanical approaches to learning and control, leading to contributions in bounded rationality models and recasting adaptive control as a causal inference problem. I have also worked on causal induction, and on game- and decision-theoretic models in computational neuroscience.

To get a sense of my work, please refer to:

Travel Schedule

2015, Jul 23-25 CogSci @ Pasadena
2015, Aug 20 MIT @ Boston
2015, Aug 25-26 NSF-WS Learning, Perception & Control @ Washington DC
2015, Sep 1-3 EU-WS Info. & Decision Making @ London
2015, Sep 4 NCSML @ Warwick
2015, Sep 7 CBL @ Cambridge
2015, Sep 8 Gatsby @ London
2015, Sep 9 Microsoft Research @ Cambridge
2015, Sep 10 MLRG @ Oxford
2015, Sep 11 Deepmind @ London
2015, Sep 12-19 Tuebingen & Heidelberg
2015, Dec 7-12 NIPS @ Montreal
2015, Dec 14 RLLab @ McGill

News (on Twitter)

Timeline of @AdaptiveAgents

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Learning to Communicate with Deep Multi-Agent Reinforcement Learning
About 3 hours, 44 mins ago by: Pedro A. Ortega (@AdaptiveAgents)

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Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
About 9 hours, 45 mins ago by: Pedro A. Ortega (@AdaptiveAgents)

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Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
About 1 day, 3 hours ago by: Pedro A. Ortega (@AdaptiveAgents)

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Toward Designing a Realistic Conversational System: A Survey
About 1 day, 9 hours ago by: Pedro A. Ortega (@AdaptiveAgents)

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RT @dbalduzzi: Unfortunately, the answer is “no”. A neuroscientist could not understand a microprocessor:
About 3 days, 21 hours ago by: Pedro A. Ortega (@AdaptiveAgents)


Pedro A. Ortega
School of Arts and Sciences
University of Pennsylvania
Off. 304-C
3401 B&C, Walnut St
Philadelphia, PA 19104-6241

home.txt · Last modified: 2016/05/04 02:56 by peortega

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